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Delivered scorching on the heels of its acquisition with the aid of IBM, the latest edition of pink Hat trade Linux includes a few original capabilities that stronger usher cloud-native applied sciences.

no longer relatively, purple Hat touts version 7.6 of the purple Hat enterprise Linux (RHEL) open supply operating gadget because the basis for hybrid cloud workloads. That imaginative and prescient aligns with what executives from IBM and purple Hat stated this week: The mixed company can hold a preeminent situation within the hybrid cloud market.

regardless of the acquisition, which become in negotiation since closing spring, IBM didn't add from now on price to RHEL 7.6 than it customarily has to outdated versions of purple Hat commercial enterprise Linux -- especially generic confederate enablement elements that could embody the whole ecosystem, according to a purple Hat spokesperson.

or not it's questionable when or if IBM will open to earn greater remarkable contributions to future types of red Hat trade Linux, but the two agencies determine to work greater carefully on the operating device going forward.

One indication of that application is Stefanie Chiras, a 17-12 months veteran of IBM who joined pink Hat in July as the vice president and time-honored manager of commercial enterprise Linux. Chiras is furthermore chargeable for helping to e reserve that unit via its integration with IBM's hybrid cloud neighborhood.

IBM runs purple Hat-based mostly models of Linux on its LinuxOne mainframes and vigor-based servers, in addition to its steady contributions to quite a lot of models of purple Hat trade Linux. although, participants of the Linux building neighborhood are cautious that IBM might await too a remarkable deal control over the route of the operating system and add features that serve IBM's needs above these of the Linux neighborhood.

IBM CEO Ginni Rometty assured that IBM would capture a fingers-off approach with pink Hat as an unbiased entity, including core product development and its company subculture. and some analysts accept as ethical with if IBM receives too aggressive with its contributions to RHEL, it could damage the relationship and threaten its multibillion-dollar funding within the mixed enterprise.

"IBM won't meddle to lots with [RHEL]; whatever thing contributions they've already deliberate, they might furthermore simply speed up these contributions," noted open Dzubeck, president of Communications network Architects, a consultancy in Washington, D.C. "The magnitude of operating programs has been going away for a long time. They are just a device now that sucks in features that are already in the applications."

or not it's uncertain when or if IBM will start to earn extra sizeable contributions to future versions of purple Hat enterprise Linux, but the two companies determine to work greater closely on the working device going forward.

on the identical time, IBM plans to capitalize on Linux's presence within trade and cloud environments, and it will accelerate its public and private cloud efforts on ethical of enterprise Linux with a number of its cloud-based mostly offerings -- principally analytics products.

Linux's 7.5% share of the global server operating device profits market at the conclusion of 2017 trailed home windows Server with 23.7%, and it changed into ahead of IBM's AIX and gear z working equipment, at 2.8% each and every, in accordance with a July Gartner report. In a further fresh record, Gartner anticipated seventy five% of user organizations can hold deployed either a hybrid or multi-cloud mannequin.

This records buttresses red Hat's perception that users want a basis that supports workloads whether they sprint on naked metallic or within the public cloud. This skill is a necessity for larger IT shops that assist a blend of working methods and cloud computing models -- and crimson Hat officers contend that RHEL 7.6 gives this sort of foundation.

RHEL 7.6 improvements protection, automation

The original edition of RHEL debuts the 2.0 version of trusted Platform Module (TPM) hardware modules, which provide two layers of safety for hybrid cloud to maintain facts on disks more comfy. TPM is a portion of the community-certain Disk Encryption, which offers safety across networked environments. And TPM itself is an on-premises capability that ties disks to selected physical programs.

a further addition to RHEL 7.6 is an enhancement to nftables that simplifies the configuration of counterintrusion measures, which gives administrators extra visibility into this feature and makes it less complicated to manage firewalls.

RHEL 7.6 furthermore supports enterprise Linux gear Roles, a collection of Ansible modules that deliver a more consistent option to automate and remotely maneuver trade Linux deployments. every module has an automatic workflow to tackle hobbies and tangled projects that approach up as a portion of the commonplace administration of Linux. This flat of automation is intended to reduce human mistake from these projects and free IT admins to focus on adding value to greater censorious initiatives.

lastly, RHEL 7.6 works with the business's light-weight container toolkit, which is made up of Buildah, Skopeo, CRI-O and Podman. Podman, the newest addition to the toolkit, lets clients sprint containers and agencies of containers from a command-line interface.

RHEL 7.6 is obtainable now to commercial enterprise Linux clients with dynamic subscriptions.

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There are two fundamental approaches of how to design automation processes:

Declarative, furthermore often known as model-based.

Imperative, furthermore often known as workflow- or procedural-based.

The purpose of this article is to interpret the principles of each, explore a diminutive of how they work, try to highlight some of the strengths and weaknesses, and explore how they can be used together. I don’t believe one size fits all. Based on your requirements and some of what is explored below, you may exercise a combination of the two — even if some of the tooling you exercise leans toward one way or the other.

Declarative or Model-Based Automation

The fundamental state of the declarative model is the desired state. The principle is that they declare, using a model, what a system should look like. The model is data-driven, which allows data in the figure of attributes or variables to be injected into the model at runtime to bring it to the desired state. A declarative process should not require the user to be watchful of the current state; it will usually bring it to a required state using a concept known as idempotent.

Idempotent

What this basically means is that if you deploy Version 10 of a component to a development environment and it is currently at Version 8, changes 9 and 10 will be applied. If you deploy the selfsame release to a test environment where Version 5 is installed, changes 6 through 10 will be applied, and if you deploy it to a production system where it has never been deployed, it will apply changes 1 through 10. Each of the deployment processes brings it to the selfsame state regardless of where they were initially. The user, therefore, does not need to be watchful of the current state.

Maintaining State

Once they hold a model for their infrastructure or applications, any future changes required are made to the model. This means that as a model changes over time — and may hold a current, past, or future state. This raises the question of how can a model be applied to a target system and how can it know what changes to make? This is not always simple to admit and it is not the selfsame for every platform and runtime you are managing.

State Management

It’s arduous to cover a broad subject fancy this without making some generalizations—and there are some in this section. There are broadly three methods used to withhold an environment or system and its desired state models in line.

1. Maintain an Inventory of What Has Been Deployed

This where they maintain the state of what has been deployed and what is in the desired state of a release, and only apply the difference.

My instance test system has had 1.sql, 2.sql, and 3.sql already deploy (recorded in my inventory).

Automation determines to only run 4.sql and 5.sql.

2. exercise Case

This type of state management is particularly useful for things such as databases or systems that require updates from a propriety API where the state of the target cannot always be easily determined.

3. Validate and Compare the Desired State With What Has Been Deployed

As a simple illustration, they may want to determine if important_file.xml from my desired state deployment exists on the target system and whether it looks the selfsame as the one in my package.

If it doesn’t exist, create it. copy it, etc.

If it does, determine whether it is different.

If it is different, how Do I update it (converge, copy over, etc.)?

Probably the most widely used implementation is to simply manage the files that many cloud-native runtimes exercise to store configuration definitions, such as SSH keys for a server or XML files to manage a Java runtime such as Tomcat. This furthermore can be used to maintain runtimes that are managed via an API. For instance, What is my mound or config particular for my WebSphere Server? Is this what it should be? If it is doing nothing, set it to redress desired state value.

There are occasions when they don’t really custody about what exists. The most obvious instance here is anything that is stateless, such as a container. There are probably very few examples of why you would want to sprint any automation within a container to change its state; you would just want to instantiate a original one that has the original configuration you require.

Imperative, Procedural, or Workflow-Based Automation

The fundamental of what often is referred to as workflow, procedural, or imperative approach is that a series of actions are executed in a specific order to achieve an outcome. For an application deployment, this is where the process of “how the application needs to be deployed” is defined, and a series of steps in the workflow are executed to deploy the entire application.

A standard instance might include:

Some pre-install/validation steps.

Some install/update steps.

Finally, some validation to verify what they hold automated has worked as expected.

The often-cited criticism of this approach is that they finish up with lots of separate workflows that layer changes onto their infrastructure and applications — and the relationship between these procedures are not maintained. The user, therefore, needs to be watchful of the current state of a target before they know which workflow to execute. That means the principle of desired state/idempotent is arduous to maintain and that each of the workflows are tightly coupled to the applications.

The reality here is that the situation is not black and white. Puppet is an instance of what is seen as a declarative automation tool, while Chef is said to be imperative. Do they both support concepts of the desired state and are they both idempotent? The admit is, of course, yes. Is it workable to exercise a workflow tool to design a tightly coupled release that is not idempotent? The admit is, again, yes.

What Are the Benefits of Workflows?

The profit of using a workflow is that they are able to define relationship and dependencies for their units of automation and orchestrate them together. In the instance above, they can create a workflow to accomplish pre-installation, installation, and post-installation steps, perhaps adding additional conditional steps if it’s in a particular environment such as production (disable a monitoring system, additional security configurations, etc.).

Procedural workflows furthermore allow us to, for example, deploy component A and B on Server1, then deploy component C or Server2, and then continue to deploy D on Server1. This gives us much greater control in orchestrating multi-component releases.

It is often suggested that the option is between imperative- and declarative-based deployment. However, these two approaches are not mutually exclusive.

Workflow for Applications

One of the issues in the world of DevOps is the need of a consistent lexicon or terminology. Just request someone who works in the industry what their definition of an environment is or what the term application means to them. My guess is that you will net differing answers.

To me, an application is made up of components and a release is generally in the figure of an application that is created from multiple versioned components. Now, depending on the organization you work in, you may or may not recognize the definition I hold given — and if everything in your world is a stateless loosely coupled microservice on a cloud-native platform, then this may be the case. If you work in a more traditional enterprise organization, you will more likely recognize the requirement for multi-component release orchestration, requiring procedural or workflow processes to handle the coordination and dependencies between the different components.

Model for Components

When it comes to deploying a specific component, I believe it’s arduous to bicker against the benefits of using a declarative or model-based approach. The concept of something being idempotent — I can deploy any version to any target system if it has never been deployed to before. If they want to interpose a original change to an already existing environment or even if they want to roll a unit of automation back, it is arduous to bicker against for its consistency and simplicity.

Imperative Orchestration and Declarative Automation

The future of IT operations is doubtless based on things such as stateless microservices running in fungible containers and using Kubernetes watchers to trigger event-driven automation, much as the future of retail is for Amazon to deliver milk to my IoT-connected refrigerator using a drone.

That being said, most of us still live in the present and hold the need — for some time to come, at least — to address some of the automation and orchestration challenges that exist in today’s IT landscape. With this in mind, a combination of declarative (or model-driven) units of automation, coordinated by imperative (or workflow-based) orchestration can be used to achieve this. An imperative or workflow-based orchestrator furthermore will allow you to execute not only declarative automation but furthermore autonomous imperative units of automation, should you need to.

My recommendation is that an application workflow defines the order and dependencies of components being deployed. The declarative model for a component determines what action needs to be taken to bring a target system into compliance with the model.

It is arduous to underestimate the significance of the desired state—it has changed the way they celebrate at system and application updates and drastically improved the visibility, audit, and control of IT systems. Any progressive organization looking to gallop to a Continuous Delivery or deployment model or to implement things such as autoscaling or “deploy and destroy” for development or testing purposes will profit from the exercise of declarative or model-based automation.

However, a model-based approach does not admit all the difficult questions around orchestration. This, in my opinion (for the moment, at least) is best achieved using imperative, procedural, or workflows processes.

LAS VEGAS--(BUSINESS WIRE)--LANDesk Software, a global leader in systems lifecycle management, endpoint security and IT service management, today introduced the LANDesk® Management Automation Platform, an IT process management solution, designed to enable organizations to easily define, design, implement and execute cross platform IT automation initiatives. The original platform will allow IT to bring together process and automation disciplines to facilitate efficient task design, repeatability and auditability - assisting IT organizations in reducing costs, eliminating process variability and achieving compliance with regulatory requirements across industry solutions.

LANDesk estimates that as much as 30 percent of IT operational costs can be attributed to redundant and repetitive tasks and the failure to document and adhere to IT best practices. Through an open architecture approach, LANDesk’s Management Automation Platform enables process automation initiatives to be implemented across various IT functions and solutions including LANDesk® Management Suite, LANDesk® Security Suite, LANDesk® Asset Lifecycle Manager and LANDesk® Service Desk. LANDesk’s Management Automation Platform is an industry open platform and available to each and every LANDesk customers at no charge. At Interchange, LANDesk’s annual user conference, the company highlighted approximately 165 best practices.

“The need for process automation in IT is obvious, yet it has been an region that has been underserved,” said Steve Daly, President and CEO, LANDesk Software. “Mobility is exploding - the number of devices, software implementations and security vulnerabilities - and regulatory IT compliance and management requirements are going to multiply exponentially. IT departments will be arduous pressed to manage their environment without some figure of process automation. Their goal in introducing this platform is to provide a complete, open solution for automating operational tasks across a spectrum of IT disciplines.”

With the initial release of LANDesk Management Automation Platform users and developers will hold access to the following tools:

Content and Resource Center: A single repository designed to facilitate the identification, definition, design and refinement of customer built processes. The Resource seat will hold each and every the content libraries to enable users to easily download and upload capabilities quickly as well as a web based process and workflow designer for designing automation processes.

Best practice Processes: With this release of the Management Automation Platform, LANDesk is offering users approximately 165 best practice process automation templates based on industry standard and current users’ management best practices

Software development Kit: An open platform SDK that enable cross product utilization of functional objects registered with the service layer. Code is comprised of application program interfaces (APIs) encapsulating the functional elements and components of the Management Automation Platform and an SDK for wrapping the APIs into a consumable package for exercise during development. The SDK allows for seamless internal and endemic product integration as well as integration with third party applications. This includes easy-to-use graphical tools for process modeling and configuration, auditing, workflow reporting and analysis.

Connectors: Workflow connectors that enable process to be constructed between any of the industry’s top ERP, CRM, Service Management and other applications. The connectors act as third party application data listeners, data integration points and functional instrumentation for cross product process and automated workflow definition, design, implementation and execution.

About LANDesk Software

LANDesk Software is a leading provider of systems lifecycle management, endpoint security, and IT service management solutions for desktops, servers and mobile devices across the enterprise. LANDesk enables IT to deliver trade value by gaining control of end-user computing with a single console, light infrastructure, and ITIL solutions that deliver significant ROI for thousands of customers worldwide. LANDesk is headquartered in Salt Lake City, Utah, with offices located in the Americas, Europe and Asia Pacific, and can be institute at www.landesk.com.